Emre Neftci

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A VLSI AER-based system for implementing WTA relational processors

We will explore the function of coupled graph winner-take-all (WTA) circuits as general relational processors, using VLSI address-event based systems. Initially we will connect two custom VLSI chips comprising cooperative-competitive networks of spiking neurons, that implement soft-WTA mechanisms. The initial system will implement a two node graph, where each node is a WTA chip. The nodes represent a dimension in feature space, and the activity of each neuron in the node encodes the tuning to a specific feature. The relation (constrain) between the two features is represented by the recurrent connectivity between the nodes. The connection matrix between neurons across chips will be implemented using the AER infrastructure. We will use this hardware to explore context dependent processing in which the interpretation of data by one WTA depends on the relation with the other WTA.

Publications

2013

  • Neftci, E. and Toth, B. and Indiveri, G. and Abarbanel, H. Dynamic State and Parameter Estimation applied to Neuromorphic Systems , Neural Computation, 24:(7) 1669-1694, 2013
  • Neftci, Emre and Binas, Jonathan and Rutishauser, Ueli and Chicca, Elisabetta and Indiveri, Giacomo and Douglas, Rodney J. Synthesizing Cognition in Neuromorphic Electronic Systems, PNAS, 110:(37) E3468–E3476, 2013

2012

  • Corneil, D. and Sonnleithner, D. and Neftci, E. and Chicca, E. and Cook, M. and Indiveri, G. and Douglas, R. Function approximation with uncertainty propagation in a VLSI spiking neural network, International Joint Conference on Neural Networks (IJCNN) 1-7, 2012
  • Corneil, D. and Sonnleithner, D. and Neftci, E. and Chicca, E. and Cook, M. and Indiveri, G. and Douglas, R. Real-time inference in a VLSI spiking neural network, IEEE International Symposium on Circuits and Systems (ISCAS) 2425-2428, 2012
  • Neftci, E. and Toth, B. and Indiveri, G. and Abarbane, H. Dynamic State and Parameter Estimation applied to Neuromorphic Systems, Neural Computation, 24:(7) 1669-1694, 2012
  • Neftci, Emre and Binas, Jonathan and Chicca, Elisabetta and Indiveri, Giacomo and Douglas, Rodney Systematic Construction of Finite State Automata Using VLSI Spiking Neurons, Biomimetic and Biohybrid Systems 382-383, 2012

2011

2010

  • Indiveri, G and Neftci, E A Device Mismatch Compensation Method for VLSI Neural Networks 262-265, 2010
  • Neftci, Emre and Chicca, Elisabetta and Cook, Matthew and Douglas, Rodney State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons, Iscas proceedings 2010, 2010 pdf

2008

  • Neftci, E. and Chicca, E. and Indiveri, G. and Slotine, J.-J. and Douglas, R. J. Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons, Advances in Neural Information Processing Systems 20 1073-1080, 2008 pdf
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